A Data Science Professional

1 week ago

Singapore beBeeDataScience Full time $120,000 - $150,000
Job Title:

A Data Science Professional

Company Overview:
We are a leading consulting firm, seeking a highly skilled data science professional to join our Deal Advisory team in Singapore.

Job Description:
Our Deal Advisory practice provides comprehensive, data-driven solutions for clients across various industries. As a data science professional, you will play a key role in leveraging your technical expertise to solve real-world business problems and contribute to strategic decision-making. You will collaborate closely with senior advisors and business leaders, gaining exposure to high-impact areas within the Deal Advisory space. Through hands-on projects, you'll learn how data-driven insights directly impact business growth and development.

Responsibilities:
  1. Collaborate with cross-functional teams to gather and analyze data for mergers, acquisitions, valuations, restructuring, business performance improvements, and other strategic advisory projects.
  2. Apply data science skills to real-world business problems, aiming to identify actionable insights that create value and positive impacts for clients.
  3. Load and preprocess large, complex datasets to make them usable for predictive modeling, statistical analysis, and visualization.
  4. Develop predictive models, machine learning algorithms, and statistical models to identify trends, risks, and opportunities in the data.
  5. Apply optimization techniques to solve business problems related to resource allocation, pricing, and other business and operational aspects.
  6. Generate actionable business insights based on processed data, transforming analytical results and models into clear data-driven recommendations for stakeholders.
  7. Create compelling data visualizations and dashboards using tools like Power BI, Tableau to communicate findings and tell stories effectively.
  8. Present findings to senior management and clients, helping them leverage data science models to optimize their strategic and operational decisions.

Requirements:
  • Bachelor's degree or above in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
  • Minimum 5 to 8 years of experience in data science or data analytics roles, AI, operational research.
  • Ability to generate actionable insights from data, going beyond numbers to make meaningful business recommendations.
  • Effective communication skills, with the ability to explain complex models and results to non-technical stakeholders.
  • Experience in financial analysis, understanding of corporate finance and deal structuring is a plus.
  • Problem-solving mindset with a focus on delivering results in high-pressure, time-sensitive environments.
  • Ability to collaborate with diverse teams and work on multiple projects simultaneously.
  • Strong proficiency in Python, Alteryx, Power BI (or Tableau) are essential.
  • Hands-on experiences on the following: Alteryx (incl. macro and analytic app) to build workflow for data analysis and insights generations, Operational research including mathematical optimization models and solver tools (e.g., linear programming, mixed-integer programming), Machine learning / deep learning python libraries (e.g., pandas, scikit-learn, Keras, TensorFlow, PySpark, etc.), Predictive modelling, advanced statistical modelling and hypothesis testing (e.g. regression analysis, time series analysis, clustering, classification, predictions, A/B testing).
  • Expertise in generative AI models (e.g. GPT). Experience in building, fine-tuning, and deploying large language models (LLMs) and transformer architecture. Familiarity with natural language processing (NLP)
  • Azure cloud platform, Azure Machine Learning, Azure Data and AI tools, Azure Databricks for big data processing and machine learning pipeline management
  • Data cleaning and preprocessing techniques, features engineering / selection to enhance model performance, features importance to explain the model
  • Data visualization using tools to develop data story, e.g., Matplotlib, Seaborn, Power BI / Tableau
  • SQL skills and knowledge of relational databases (e.g. MySQL)

Advantages with following knowledge and skillsets:
  • GitHub / Containers technology / DevOps / software development and deployment.
  • Big data engineering tasks and tools (e.g. ETL pipelines, data warehouses, Apache Spark, Kafka, etc.).
  • Other language skills, e.g. R, Scala
  • Certifications in AI and / or machine learning from Microsoft Azure

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